Academic Part Time Intern (APX) - Flight Projects Business Administration
NASA Jet Propulsion LaboratoryAbout the role
Job Details New ideas are all around us, but only a few will change the world. That’s our focus at JPL. We ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL. Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.
Responsibilities
The Flight Projects Business Administration Division (7400) is seeking a motivated and analytical Academic Part Time Intern to support the development of data-driven tools that strengthen and streamline business operations for the Flight Projects Directorate. The selected intern will help translate business needs into practical, user-focused solutions—leveraging JPL’s collaborative and data platforms to build dashboards, automate workflows, and develop internal tools and sites that enable more efficient and informed business operations decision-making across the directorate. The position reports to the 7400 Division Manager. This internship reinforces a student’s academic foundations in business, data analytics, information systems, and technology through real-world applications while enabling them to build a portfolio of tangible work products such as dashboards, tools, sites, and automated workflows that demonstrate applied learning and can be showcased in future coursework or capstone projects. It strengthens technical proficiency with industry-standard enterprise tools, enhances analytical thinking through projects involving opportunity evaluation, data organization, and decision support, and devel
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